|Simulation Modeling & Analysis|
KBSI's simulation modeling and analysis research work has focused on developing advanced technology for modeling processes and workflow tasks and, using simulation model generation, for developing optimal workflows that deliver consistent results. Simulation facilitates experimentation with real world systems and allows analysts to explore the effect of changes to an existing system, to analyze proposed systems, and to quantify system changes.
KBSI has established itself as a leader in simulation modeling and analysis, leading a number of successful efforts for the Department of Defense and a variety of commercial industries. KBSI’s work with Tinker Air Force Base produced the On Demand Depot Shop Process Analysis (ODSS) technology, which enhances the rapid creation and application of simulation modeling for depot management decision support. In another effort for the Air Force Research Laboratory, KBSI developed a Framework for Adaptive Modeling and Ontology-driven Simulation (FAMOS OSAI Method™). This technology uses a hybrid approach that combines ontology and process analysis methods with ontology-driven translation generation techniques to facilitate robust simulation composability analysis and semantic modeling and simulation interoperability.
KBSI also developed a unified modeling and experimentation framework that uses simulation, trade-off analysis, and data mining analysis and optimization to enhance the Army's current and future combat systems maintenance and maintenance manpower planning at the U.S. Army Research Laboratory at the Aberdeen Proving Grounds. The Army Transformation in Logistics and Sustainment (ATLAS™) technology is a unified modeling and experimentation framework that allows decision-makers to assess and plan current and future combat systems maintenance.
Simulation Modeling & Analysis Categories